Lectures related to Eigenvalues and Eigenvectors: Understanding Matrix Properties

Explores eigenvalues and eigenvectors in matrices through examples and calculations.

Explores matrix operations, linear systems, solutions, and the span of vectors in linear algebra.

Covers the criteria for diagonalizing a matrix and provides illustrative examples.

Covers the diagonalization of matrices using eigenvectors and eigenvalues.

Covers the Singular Value Decomposition (SVD) in detail, including properties of matrices and system linearity.